Sakana AI and NVIDIA have introduced TwELL with CUDA kernels, which is reported to achieve a 20.5% inference and 21.9% training speedup in large language models. Other developments in the field of language models include proposals for faster and more efficient models, such as the Fast Byte Latent Transformer. Additionally, coding implementations are being explored to support multi-user and multi-session applications for large language models.